基于大数据分析的ERP系统优化与决策支持研究

Research on ERP System Optimization and Decision Support Based on Big Data Analysis

提出了一种基于大数据分析技术的企业资源规划系统优化与决策支持方案。具体而言,构建了描述ERP系统优化的数学模型,设计了卷积神经网络,用于预测执行特定决策方案后的总成本,以选择最优的决策方案。结果表明,与传统的经验决策和线性规划方案相比,该方案提供的策略支持具有显著优势,对于提高企业资源规划系统的性能具有重要的实际意义。

A optimization and decision support scheme for enterprise resource planning system based on big data analysis technology has been proposed.Specifically,a mathematical model was constructed to describe the optimization of ERP systems,and a convolutional neural network was designed to predict the total cost after executing a specific decision plan,in order to select the optimal decision plan.The results indicate that compared with traditional empirical decision-making and linear programming schemes,the strategy support provided by this scheme has significant advantages and has important practical significance for improving the performance of enterprise resource planning systems.